skytable
neuronika
Our great sponsors
skytable | neuronika | |
---|---|---|
21 | 19 | |
2,098 | 1,020 | |
5.7% | 0.0% | |
9.2 | 0.0 | |
14 days ago | over 1 year ago | |
Rust | Rust | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
skytable
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Show HN: Skytable's new NoSQL engine BlueQL with injection safety, improved perf
Hey HN!
I've been working on Skytable since 2020 and after several iterations from a simple K/V store, we've walked the path to this release. The goal of Skytable is to deliver a solid foundation for building data intensive applications.
Skytable's primary goal is performance and scale. Even with a query language it can outperform K/V stores which use simple commands (benchmarks will be shared in another post).
Several implementations in Skytable (especially around query evaluation and execution) are fundamentally different from SQL and even NoSQL counterparts and there are some entirely new concepts which might make it a little hard to grasp.
BlueQL is a very important part of Skytable and it employs some interesting concepts to try and reduce the surface for injection attacks and tries to be a modern and secure alternative to SQL.
- Source code: https://github.com/skytable/skytable
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Skytable’s new NoSQL engine released: BlueQL, injection protection, collections and performance improvements
Here are some quick links: - Source code: https://github.com/skytable/skytable - Rust driver: https://github.com/skytable/client-rust
- Skytable NoSQL Database: Even with BlueQL, Skytable Outperforms Redis and KeyDB
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The first version of Redis, written in Tcl
I think this is relevant... These are 3 OSS databases that can be an alternative to Redis:
- KeyDB: https://github.com/snapchat/keydb
- Dragonfly: https://github.com/dragonflydb/dragonfly
- Skytable: https://github.com/skytable/skytable
I have used keyDB before. The raft consensus makes building an HA Redis easy.
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Skytable PHP Client
:) in fact, I copied the definition from the project page and Skytable is not finished project yet. You can see here, the real time features in the road map. https://github.com/skytable/skytable/issues/203
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Commit 1 to 1000 and beyond: Two years of maintaining an open-source project
Back in June 2020, I started writing what is now known as Skytable, a NoSQL database project. Ever since, I have been maintaining Skytable, mostly in my free time and have recently been spending a lot of time on it. Here's a little story on my two years of experience in maintaining an open-source project: what it's like, the highs and lows and the future.
- So, you call yourself the fastest key/value store? It's 5X, 10x and 25X faster
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Jotsy: A self-hosted notes app powered by Skytable, Axum and Tokio
I'm delighted to release Jotsy — a self-hosted, free and open-source (Apache-2.0) note taking app, built with Skytable, Axum and Tokio. The most important goal of Jotsy is to be simple and focus on the most important thing, notemaking.
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NoSQL and Key-Value storage systems based on Rust (Redis and Tarantool replacements in Rust)
Skytable — A multi-model NoSQL database
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What are you using Rust for?
Well, we're building the Skytable database with it.
neuronika
- This year I tried solving AoC using Rust, here are my impressions coming from Python!
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Deep Learning in Rust: Burn 0.4.0 released and plans for 2023
Also perhaps comparing to Neuronika.
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Making a better Tensorflow thanks to strong typing
how does it compare with https://github.com/spearow/juice, https://github.com/neuronika/neuronika and https://github.com/spearow/juice?
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[D] To what extent can Rust be used for Machine Learning?
Check where and how this struct is used. https://github.com/neuronika/neuronika/blob/variable-rework/neuronika-variable/src/history.rs
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Enzyme: Towards state-of-the-art AutoDiff in Rust
I have a question: as the maintainer of [neuronika](https://github.com/neuronika/neuronika), a crate that offers dynamic neural network and auto-differentiation with dynamic graphs, I'm looking at a future possible feature for such framework consisting in the possibility of compiling models, getting thus rid of the "dynamic" part, which is not always needed. This would speed the inference and training times quite a bit.
- Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?
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What sort of mature, open-source libraries do you feel Rust should have but currently lacks?
If you like autograd you will love neuronika
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bhtsne 0.5.0, now 5.6x faster on a 4 core machine, plus a summary of my Rust journey (so far)
After reading most of the book, I wanted to get my hands dirty. My initial idea was to build a small machine learning framework but I deemed it to be too difficult if not impossible for me at the time. (Now, neuronika would have something to say). When gathering the bibliography for my thesis, I recalled to have stumbled upon a particular algorithm, t-SNE, whom I liked very much. I found the idea behind it to be very clever and elegant (t-SNE it's still one of my favorite algorithms, together with backprop and SOM, I find manifold learning fascinating in general). "So be it", I said, and I began writing a mess of a code, that was basically a translation of the C++ implementation. Boy was it bad.
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What are you using Rust for?
me and a colleague of mine are developing neuronika
What are some alternatives?
ArangoDB - 🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
dragonfly - A modern replacement for Redis and Memcached
KeyDB - A Multithreaded Fork of Redis
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
calligrapher-ai - Handwriting Synthesis with RNNs ✍🏻
oxigraph - SPARQL graph database
clblast-rs - clblast bindings for rust
autograph - Machine Learning Library for Rust
sky-benches - Attempts at benchmarking Skytable with the others to see where we stand
winsafe - Windows API and GUI in safe, idiomatic Rust.
are-we-learning-yet - How ready is Rust for Machine Learning?
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger